Nineteen crosswalks in Metro Manila were surveyed and several variables were assessed. Pedestrian traffic flow characteristics such as volume, delay and non-compliance were measured during selected times of the day. A model for non-compliance was developed using several explanatory crosswalk variables. The model showed that non-compliance is greatly influenced by crosswalk width, the availability of pedestrial traffic signals, vehicle obstructions along the crosswalk, and the condition of pavement markings. To determine the general effect of pedestrian non-compliance on average delay, a second model was developed using average delay as teh response variable. Using delay estimates from the standard equation for pedestrian delay, and non-compliance data gathered in the field as explanatory variables for actual delay, the model showed a very high r-square value (r2 = 0.93). Other statistical tests were done and their results show that the model is highly significan, and there is a low probability of error in accepting the observed result as valid. The resulting equation for pedestrian delay should be validated in other areas and will prove useful when evaluating the quality of pedestrian flow at signalized intersections.
